Results 31 to 40 of about 2,971,245 (148)

A Local Texture-Based Superpixel Feature Coding for Saliency Detection Combined with Global Saliency

open access: yesApplied Sciences, 2015
Because saliency can be used as the prior knowledge of image content, saliency detection has been an active research area in image segmentation, object detection, image semantic understanding and other relevant image-based applications.
Bingfei Nan   +3 more
doaj   +1 more source

Maritime Target Detection Based on Eagle Optic Tectum Response and Contrast Sense [PDF]

open access: yesHangkong bingqi, 2022
Aim at the scene of maritime target detection task, by referring to the double fovea structure of eagle eye,the contrast sense is constructed and the neural response of eagle brain is simulated,and a maritime target detection algorithm based on eagle ...
Hu Shuang, Deng Yimin
doaj   +1 more source

Improving RGBD Saliency Detection Using Progressive Region Classification and Saliency Fusion

open access: yesIEEE Access, 2016
This paper proposes an effective method to improve the saliency detection performance of existing RGBD (RGB image with Depth map) saliency models. First, a progressive region classification method is proposed to collect training samples at coarse scale ...
Huan Du   +4 more
doaj   +1 more source

A Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image [PDF]

open access: yesAUT Journal of Electrical Engineering, 2019
Saliency regions attract more human’s attention than other regions in an image. Low- level and high-level features are utilized in saliency region detection.
Sekine Asadi Amiri, Hamid Hassanpour
doaj   +1 more source

Co-saliency detection via inter and intra saliency propagation

open access: yes, 2016
The goal of salient object detection from an image is to extract the regions which capture the attention of the human visual system more than other regions of the image.
Liu, Fanghui   +4 more
core   +2 more sources

Co-saliency detection based on hierarchical segmentation [PDF]

open access: yes, 2014
International audienceCo-saliency detection, an emerging and interesting issue in saliency detection, aims to discover the common salient objects in a set of images. This letter proposes a hierarchical segmentation based co-saliency model.
Zou, Wenbin   +9 more
core   +1 more source

Analysis on Saliency Estimation Methods in High-Resolution Optical Remote Sensing Imagery for Multi-Scale Ship Detection

open access: yesIEEE Access, 2020
Ship detection is of considerable significance in both military and civilian application domains. Deep Convolutional Neural Network (DCNN) with region proposal mechanism, e.g., Faster R-CNN, performs outstandingly in ship detection with high-resolution ...
Zezhong Li, Yanan You, Fang Liu
doaj   +1 more source

Boundary Preserved Salient Object Detection Using Guided Filter Based Hybridization Approach of Transformation and Spatial Domain Analysis

open access: yesIEEE Access, 2022
Techniques for detecting salient objects mimic human behavior by recognizing the most noticeable parts of images as objects. Salient object detection has attracted many researchers’ attention nowadays for various computer vision and pattern ...
Bhagyashree V. Lad   +2 more
doaj   +1 more source

Learning Static-Adaptive Graphs for RGB-T Image Saliency Detection

open access: yesInformation, 2022
Many works have been proposed on image saliency detection to handle challenging issues including low illumination, cluttered background, low contrast, and so on. Although good performance has been achieved by these algorithms, detection results are still
Zhengmei Xu   +3 more
doaj   +1 more source

Colour saliency-based parameter optimisation for adaptive colour segmentation [PDF]

open access: yes, 2009
In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data space partitioning techniques.
Paul F. Whelan   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy